# Electronic Medical Record Analysis

Clinical language model trained on 1.2 billion words of multicenter medical data, supporting electronic health record analysis

ERNIE-Health is a language model pretrained on Chinese biomedical domain texts, with training data derived from anonymized online doctor-patient dialogues, electronic medical records, and professional texts such as medical textbooks.

BioBERTpt is a Portuguese clinical and biomedical BERT model based on the BERT architecture, specifically optimized for clinical named entity recognition tasks.

Med7 is a model focused on clinical natural language processing for electronic health records, used to identify medication-related information in medical texts.